Biases of the wintertime Arctic Oscillation in CMIP5 models
Distinct biases are found in the pattern and teleconnections of the Arctic Oscillation (AO) in 32 climate models that participate the Coupled Model Intercomparison Project Phase 5 (CMIP5). Compared with observations, the Pacific (Atlantic) center of AO is excessively strong (weak) in most of the 32...
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IOP Publishing
2016-01-01
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Series: | Environmental Research Letters |
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Online Access: | https://doi.org/10.1088/1748-9326/12/1/014001 |
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author | Hainan Gong Lin Wang Wen Chen Xiaolong Chen Debashis Nath |
author_facet | Hainan Gong Lin Wang Wen Chen Xiaolong Chen Debashis Nath |
author_sort | Hainan Gong |
collection | DOAJ |
description | Distinct biases are found in the pattern and teleconnections of the Arctic Oscillation (AO) in 32 climate models that participate the Coupled Model Intercomparison Project Phase 5 (CMIP5). Compared with observations, the Pacific (Atlantic) center of AO is excessively strong (weak) in most of the 32 CMIP5 models, and the AO-related surface air temperature anomalies are generally weak over the Eurasian continent and North America. These biases are closely tied to the excessively strong linkage, which is marginal in observations, between AO and the North Pacific mode (NPM)—the leading variability of the North Pacific sea level pressure. It implies that the AO in CMIP5 models may be compounded with some regional mode over the North Pacific. Accordingly, a bias-correction method was proposed via correcting the AO index (AOI) to improve the diagnostic estimates of the AO teleconnections. The results suggest that the biases in the pattern and teleconnections of AO can be significantly reduced when the NPM variability is linearly removed from the AOI. |
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issn | 1748-9326 |
language | English |
last_indexed | 2024-03-12T16:08:05Z |
publishDate | 2016-01-01 |
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series | Environmental Research Letters |
spelling | doaj.art-fb7b2e0744c440669b974fbc3f5b14d62023-08-09T14:18:23ZengIOP PublishingEnvironmental Research Letters1748-93262016-01-0112101400110.1088/1748-9326/12/1/014001Biases of the wintertime Arctic Oscillation in CMIP5 modelsHainan Gong0Lin Wang1Wen Chen2Xiaolong Chen3Debashis Nath4Center for Monsoon System research, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100190, People’s Republic of ChinaCenter for Monsoon System research, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100190, People’s Republic of China; The State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, People’s Republic of ChinaCenter for Monsoon System research, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100190, People’s Republic of China; The State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, People’s Republic of ChinaThe State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, People’s Republic of ChinaCenter for Monsoon System research, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100190, People’s Republic of ChinaDistinct biases are found in the pattern and teleconnections of the Arctic Oscillation (AO) in 32 climate models that participate the Coupled Model Intercomparison Project Phase 5 (CMIP5). Compared with observations, the Pacific (Atlantic) center of AO is excessively strong (weak) in most of the 32 CMIP5 models, and the AO-related surface air temperature anomalies are generally weak over the Eurasian continent and North America. These biases are closely tied to the excessively strong linkage, which is marginal in observations, between AO and the North Pacific mode (NPM)—the leading variability of the North Pacific sea level pressure. It implies that the AO in CMIP5 models may be compounded with some regional mode over the North Pacific. Accordingly, a bias-correction method was proposed via correcting the AO index (AOI) to improve the diagnostic estimates of the AO teleconnections. The results suggest that the biases in the pattern and teleconnections of AO can be significantly reduced when the NPM variability is linearly removed from the AOI.https://doi.org/10.1088/1748-9326/12/1/014001Arctic Oscillation (AO)CMIP5North PacificPacific-North America (PNA)empirical orthogonal function (EOF) |
spellingShingle | Hainan Gong Lin Wang Wen Chen Xiaolong Chen Debashis Nath Biases of the wintertime Arctic Oscillation in CMIP5 models Environmental Research Letters Arctic Oscillation (AO) CMIP5 North Pacific Pacific-North America (PNA) empirical orthogonal function (EOF) |
title | Biases of the wintertime Arctic Oscillation in CMIP5 models |
title_full | Biases of the wintertime Arctic Oscillation in CMIP5 models |
title_fullStr | Biases of the wintertime Arctic Oscillation in CMIP5 models |
title_full_unstemmed | Biases of the wintertime Arctic Oscillation in CMIP5 models |
title_short | Biases of the wintertime Arctic Oscillation in CMIP5 models |
title_sort | biases of the wintertime arctic oscillation in cmip5 models |
topic | Arctic Oscillation (AO) CMIP5 North Pacific Pacific-North America (PNA) empirical orthogonal function (EOF) |
url | https://doi.org/10.1088/1748-9326/12/1/014001 |
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